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Predicting the Future of
MLS Locations
Trey Belew, Brian Moore,
James Moore, and Mike Oczypok
Prediction
Current major US sports markets will end up as finalists
Our Guess:
Phoenix
San Antonio
Austin
Oklahoma City
St. Louis
Memphis
Methodology
Data
From: Census, American Community Survey, Wikipedia, Google
Used Data
Population, Income, CBSA Codes, Lat/Lon, Team Locations
Why
Population and Income main predictors for expansion
Methodology Continued
Outliers
Calculated outliers for MHI, MFI, PCI, and Total Population in order to
filter
down list of cities
Formula: Mean - 1.5*standard deviation
SiteScore
Weighted table of MHI, MFI, PCI, and Total Population
Each factor given equal weight of 0.25
Current MLS CitiesCurrent MLS Cities
Predicting Future MLS Cities
Predicting Future MLS Cities
Notable Expansion Cities
Phoenix, Detroit, St. Louis
Increase Geographic Exposure
More teams in:
Southeast, Midwest, and
Southwest
Comparing Current
and Expansion Cities
Takeaways
Every metro area with a Top 10
site
score already has a team
NYC and LA have two
Several areas suffer from already
having teams in the state
San Diego, Pittsburgh,
San Antonio
Looking Back and
Moving Forward
Prediction Limitations
Some expansion cities are too close to
current cities to be feasible options for
expansion
Qualitative considerations such as
between East and West divisions
Improving Future Model
Use CBSA Codes to filter out cities within a
certain
range of each other
Looking Back and
Moving Forward
Prediction Limitations
Some expansion cities are too close to
current cities to be feasible options for
expansion
Qualitative considerations such as
between East and West divisions
Improving Future Model
Use CBSA Codes to filter out cities within a
certain
range of each other
Wrapping Up
Conclusion
Further expansion into Midwest
and
Southwest
Source Data
Populations, Age, Gender, and Race Breakdowns
Profile of General Population and Housing Characteristics: 2010 - U.S.
Census
Income and Insurance Info
Selected Economic Characteristics - 2014 American Community Survey
1-Year Estimates
MLS Cities
Wikipedia.com
Latitude and Longitude
Google.com
Questions?

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MLS R Presentation

  • 1. Predicting the Future of MLS Locations Trey Belew, Brian Moore, James Moore, and Mike Oczypok
  • 2. Prediction Current major US sports markets will end up as finalists Our Guess: Phoenix San Antonio Austin Oklahoma City St. Louis Memphis
  • 3. Methodology Data From: Census, American Community Survey, Wikipedia, Google Used Data Population, Income, CBSA Codes, Lat/Lon, Team Locations Why Population and Income main predictors for expansion
  • 4. Methodology Continued Outliers Calculated outliers for MHI, MFI, PCI, and Total Population in order to filter down list of cities Formula: Mean - 1.5*standard deviation SiteScore Weighted table of MHI, MFI, PCI, and Total Population Each factor given equal weight of 0.25
  • 6.
  • 8. Predicting Future MLS Cities Notable Expansion Cities Phoenix, Detroit, St. Louis Increase Geographic Exposure More teams in: Southeast, Midwest, and Southwest
  • 9. Comparing Current and Expansion Cities Takeaways Every metro area with a Top 10 site score already has a team NYC and LA have two Several areas suffer from already having teams in the state San Diego, Pittsburgh, San Antonio
  • 10. Looking Back and Moving Forward Prediction Limitations Some expansion cities are too close to current cities to be feasible options for expansion Qualitative considerations such as between East and West divisions Improving Future Model Use CBSA Codes to filter out cities within a certain range of each other
  • 11. Looking Back and Moving Forward Prediction Limitations Some expansion cities are too close to current cities to be feasible options for expansion Qualitative considerations such as between East and West divisions Improving Future Model Use CBSA Codes to filter out cities within a certain range of each other
  • 12. Wrapping Up Conclusion Further expansion into Midwest and Southwest
  • 13. Source Data Populations, Age, Gender, and Race Breakdowns Profile of General Population and Housing Characteristics: 2010 - U.S. Census Income and Insurance Info Selected Economic Characteristics - 2014 American Community Survey 1-Year Estimates MLS Cities Wikipedia.com Latitude and Longitude Google.com

Editor's Notes

  1. We may want to adjust this
  2. Current cities with teams. Size of bubble is based on SiteScore. Orlando is small (2015 expansion team), population was biggest factor for expansion until recently.